About the rolePayroll Data is the source of truth that powers Rippling's Global Payroll ecosystem-fueling reporting, tax filings, accounting integrations, billing, and emerging AI-driven experiences. As a Staff Software Engineer on the Payroll Data team, you will play a critical role in designing and building the high-scale data infrastructure and query systems that serve millions of employees globally.
This role sits at the intersection of
product engineering and data infrastructure. You'll help define how payroll data is ingested, materialized, aggregated, and queried across both real-time and batch systems. You will be a technical leader on a team responsible for foundational pipelines, unified data access layers, and platform capabilities that downstream teams (Tax, Accounting, Reporting, AI, Object Graph) depend on.
We're looking for an engineer with strong architectural judgment who enjoys solving complex data and interoperability problems, cares deeply about correctness and observability, and thrives in environments where platform reliability is mission-critical.
What you will do- Architect and Build Core Data Systems: Design and implement scalable data infrastructure and pipelines that power payroll reports, pay stubs, tax and accounting integrations, billing, and AI use cases.
- Define the Unified Query Layer: Partner with other Staff and Principal engineers to design and evolve a cohesive data query layer that spans batch and real-time processing, reducing fragmentation and enabling consistent access patterns.
- Own End-to-End Data Pipelines: Build and maintain ETL and streaming pipelines, owning data correctness, schema evolution, backfills, and lifecycle management across upstream and downstream systems.
- Drive Non-Functional Excellence: Lead by example in building systems that are observable, debuggable, scalable, and reliable. Set standards for monitoring, logging, alerting, and data quality checks.
- Solve Deep Interoperability Problems: Tackle complex challenges at the boundaries between Payroll Data and other core systems (Object Graph, Reporting, RQL, AI), ensuring clean abstractions and long-term extensibility.
- Technical Leadership & Mentorship: Act as a technical multiplier-review designs, unblock other engineers, mentor senior engineers, and raise the overall technical bar of the team.
- Partner Cross-Functionally: Work closely with Product, Platform, AI, and other Payroll teams to translate product needs into robust platform capabilities while influencing roadmaps with data-informed tradeoffs.
What you will need- 8+ years of professional software engineering experience, with demonstrated impact on complex backend or data-intensive systems.
- Strong data infrastructure background, including experience with data pipelines, ETL/ELT systems, or large-scale data platforms.
- Expertise in distributed systems, with an understanding of tradeoffs across batch vs. real-time processing, data materialization, and aggregation strategies.
- Proficiency in a modern backend language (e.g., Go, Java, Python) and comfort working across multiple systems and services.
- Experience with transactional and analytical data stores, and optimizing schemas and queries for correctness and performance.
- Platform mindset, with a track record of building reusable abstractions and primitives consumed by many teams or products.
- Operational rigor, including hands-on experience designing for observability, reliability, and debuggability in production systems.
- Strong communication skills, with the ability to clearly articulate complex technical concepts and influence design decisions across teams.
- Ownership and autonomy, balanced with collaboration-comfortable leading large initiatives while partnering effectively with others.
Additional InformationThis role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is:
180,000 - 315,000 USD per year (US San Francisco Bay Area)
